Improving the accuracy of observable distributions for galaxies classified in the projected phase space diagram

IF 5.8 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS Astronomy & Astrophysics Pub Date : 2025-03-14 DOI:10.1051/0004-6361/202451999
Héctor J. Martínez, Martín de los Rios, Valeria Coenda, Hernán Muriel, Andrés N. Ruiz, Sofía A. Cora, Cristian A. Vega-Martínez
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Abstract

Context. Studies of galaxy populations classified according to their kinematic behaviours and dynamical state using the projected phase space diagram (PPSD) are affected by misclassification and contamination, leading to systematic errors in determining the characteristics of the different galaxy classes.Aims. We propose a method for statistically correcting the determination of galaxy properties’ distributions that accounts for the contamination caused by misclassified galaxies from other classes.Methods. Using a sample of massive clusters and the galaxies in their surroundings taken from the MULTIDARK PLANCK 2 simulation combined with the semi-analytic model of galaxy formation SAG, we computed the confusion matrix associated with a classification scheme in the PPSD. Based on positions in the PPSD, galaxies are classified as cluster members, backsplash galaxies, recent infallers, infalling galaxies, or interlopers. This classification is determined using probabilities calculated by the code ROGER along with a threshold criterion. By inverting the confusion matrix, we are able to get better determinations of distributions of galaxy properties, such as colour.Results. Compared to a direct estimation based solely on the predicted galaxy classes, our method provides better estimates of the mass-dependent colour distribution for the galaxy classes most affected by misclassification: cluster members, backsplash galaxies, and recent infallers. We applied the method to a sample of observed X-ray clusters and galaxies.Conclusions. Our method can be applied to any classification of galaxies in the PPSD, and to any other galaxy property besides colour, provided an estimation of the confusion matrix is available. Blue, low-mass galaxies in clusters are almost exclusively recent infaller galaxies that have not yet been quenched by the environmental action of the cluster. Backsplash galaxies are on average redder than expected.
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提高了在投影相空间图中分类的星系可观测分布的精度
背景利用投影相空间图(PPSD)根据星系的运动行为和动力学状态对星系群进行分类的研究受到分类错误和污染的影响,从而导致在确定不同星系类别的特征时出现系统误差。我们提出了一种对星系特性分布的测定进行统计校正的方法,这种方法考虑到了其他类别星系的误分类所造成的污染。利用MULTIDARK PLANCK 2模拟中的大质量星系团及其周围的星系样本,结合星系形成的半解析模型SAG,我们计算了与PPSD中的分类方案相关的混淆矩阵。根据星系在 PPSD 中的位置,星系被划分为星系团成员、背斜星系、近期内陷星系、内陷星系或外来者。这种分类是利用 ROGER 代码计算出的概率和阈值标准确定的。通过倒转混淆矩阵,我们可以更好地确定星系属性的分布,比如颜色。与仅仅根据预测的星系类别进行直接估算相比,我们的方法能更好地估算出受误判影响最大的星系类别的质量依赖性颜色分布:星系团成员、背斜星系和新近注入者。我们将该方法应用于观测到的X射线星系团和星系样本。只要有混淆矩阵的估计值,我们的方法可以应用于PPSD中的任何星系分类,也可以应用于除颜色以外的任何其他星系属性。星团中的蓝色低质量星系几乎都是新近塌陷的星系,它们还没有被星团的环境作用所熄灭。背斜星系平均比预期的要红。
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来源期刊
Astronomy & Astrophysics
Astronomy & Astrophysics 地学天文-天文与天体物理
CiteScore
10.20
自引率
27.70%
发文量
2105
审稿时长
1-2 weeks
期刊介绍: Astronomy & Astrophysics is an international Journal that publishes papers on all aspects of astronomy and astrophysics (theoretical, observational, and instrumental) independently of the techniques used to obtain the results.
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